Explain 'Schema Drift'.

Explain 'Schema Drift'.

Approach: Describe unexpected changes in source data structure.

The phenomenon where the source system changes its data metadata (adding, deleting, or changing columns) without prior notice, often causing downstream data pipelines to fail.

Follow-up: How can you build pipelines to handle this?

Key concepts: pipeline failure, validation.